Senior Data Engineer - Delivery
Telefonica Tech · Pune, Maharashtra, India · ₹2M/yr
Telecommunications · 5,001-10,000 employees
About the role
The role involves delivering data analytics solutions using the Microsoft Azure and SQL stack for internal and external customers. Responsibilities include supporting the development of others and contributing to the technical community.
What they look for
Requirements
Candidates should have over 6 years of experience in data engineering with a strong focus on MSBI or Azure services. Proficiency in Azure Web Apps, Event Hub, and the broader Azure data analytics ecosystem is required.
Full description
Company Description
Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.
We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany.
The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications , Workplace Services and Cyber Security & Networking.
Values: Open, Trusted and Bold
Trusted Partners:
- Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner
- HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year
- Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio
- Fortinet: Elite VIP Program – one of only 2 in the UK
- AWS: Advanced Solution & Managed Service Provider Program
Job Description
Role
As a Senior Data Engineer expect to be:
- Working on projects that utilize products within the Microsoft Azure and SQL Data Analytics stack
-  Satisfying the expectations and requirements of customers, both internal and external
- Supporting others in their development
- Contributing to Telefonica Tech and the external community
Qualifications
EXPERIENCE & SKILLS
- Some industry experience or exposure in delivering Microsoft Azure or SQL Data Analytics solutions, with a good grounding in all associated areas.
- Hands on experience on MS Azure Services with Developing, Deploying and configuring Azure Web Apps, Azure App Services using Visual Studio, experience in cloud migration and integration,
- Experience in building solutions using Event Hub, Service Bus, Blob Storage, Azure Files, Table Storage.
- Proven written and spoken English.
- Outstanding interpersonal skills.
- Ability and attitude towards investigating and sharing new technologies.
- Ability to identify opportunities and issues.
- Willingness to learn based on feedback.
- Ideally, graduated with 6 plus years of experience in data engineering role (MSBI OR Azure)
- Microsoft certified (nice to have)
Must Have Skills:
Core:
- Azure Modern Data Platform
- SQL Server (T-SQL)
- Data Analytics stack (SSIS, SSAS, SSRS)
- Power BI
- Azure Synapse
- Azure Data Bricks 
Supporting:
- Azure ML,
- Azure infrastructure
- Python, PowerShell
- Data Factory
- Azure Analytics Services
Principles:
- Data Modelling
- Data Warehouse
- Data Architecture
- Master Data Management
Additional Information
At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger.
 
Be yourself with us, and feel that you belong. 
We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. 
 
We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability.
 
 We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch. 
- Department: Data & AI
- Employment Hours: Full time
- Compensation: INR 2000000 - INR 2500000 - yearly